• International Journal of Costume and Fashion
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• 제6권2호
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• pp.11-27
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• 2006

The purpose of this study is to develop highly valued fashion cultural items using Korean face and human images to enhance global competition. The methods of this study include: historical study on the face/human images which appear on the dress; design by stage according to Lamb & Kallal's apparel design process; development of products using digital textile printing technology; and case study by objective evaluation through Grant's alpha-beta model. The procedure and the results of this study are as follows: First, in the problem identification stage, the need to develop fashion cultural products of Korean face/human images which are symbolic, aesthetic, and functional was recognized in order to enhance global competition. Second, in the preliminary idea stage, the fashion cultural products and the components that meet the above 3 standards for design were determined and first design was drawn up. The source of the design was extrapolated from face/human images, which appeared on the murals of the ancient Korea, the portraits and custom paintings from the Chosun Dynasty. From these images, a total of 7 design series of T-shirts with an "ULGUL" logo, scarves, and artwalls were developed using "obangsaek" which are five Korean traditional colors including red, blue, black. white, and yellow on cottons and silks. Third, in the design refinement stage, based on the preference survey, more varying design methods were used to develop 25 new designs. Fourth, in prototype development stage, based on the preference survey conducted on fashion professionals and general public from the previous stage, which showed preference for T-shirts and scarves, 3 designs on T-shirts and 2 designs on scarves were printed and produced using the DTP (Digital Textile Printing). Fifth, in the evaluation stage, Grant's alpha-beta model was used to perform comparative evaluation on the symbolic, aesthetic, and functional criteria of the new designs over the existing ones. The new designs received excellent results in all three criteria and a special recognition was given to symbolism of the new designs.

• 대한임베디드공학회논문지
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• 제19권1호
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• pp.9-17
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• 2024

It is widely recognized that for 3D human pose estimation (HPE), dataset acquisition is expensive and the effectiveness of augmentation techniques of conventional visual recognition tasks is limited. We address these difficulties by presenting a simple but effective method that augments input images in terms of viewpoints when training a 3D human pose estimation (HPE) model. Our intuition is that meaningful variants of the input images for HPE could be obtained by viewing a human instance in the images from an arbitrary viewpoint different from that in the original images. The core idea is to synthesize new images that have self-occlusion and thus are difficult to predict at different viewpoints even with the same pose of the original example. We incorporate this idea into the training procedure of the 3D HPE model as an augmentation stage of the input samples. We show that a strategy for augmenting the synthesized example should be carefully designed in terms of the frequency of performing the augmentation and the selection of viewpoints for synthesizing the samples. To this end, we propose a new metric to measure the prediction difficulty of input images for 3D HPE in terms of the distance between corresponding keypoints on both sides of a human body. Extensive exploration of the space of augmentation probability choices and example selection according to the proposed distance metric leads to a performance gain of up to 6.2% on Human3.6M, the well-known pose estimation dataset.

• Journal of the Korean Data and Information Science Society
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• 제23권5호
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• pp.971-981
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• 2012

구글 지도는 지리 정보를 갖는 데이터에 대한 통계정보를 제공하기 위한 보편화된 수단의 하나로 자리매김하고 있다. 본 연구에서는 R에서 구글 지도를 활용하는 방법에 대해 소개하고, 구글 지도상에 다양한 통계그래프를 표현하기 위한 R 함수를 개발한다. 개발된 함수를 통하여 막대그래프, 원형그래프, 사각형그래프 등과 같은 다양한 통계그래프를 지도상에 표현할 수 있다.

• 전자공학회논문지B
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• 제31B권7호
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• pp.76-90
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• 1994

In this paper, an efficient algorithm is proposed which recognizes the mixed document consisting of the printed Korean/alphanumeric texts and graphic images. In the preprocessing step an input document is aligned if necessary by rotating it. We obtain the rotation angle using the Hough transform and align the input document horizontally. Then we separate graphic image parts from text parts by considering chain codes of connected components. We further separate each character using vertical and horizontal projections. In the recognition step Korean and alphanumeric characters are classified and each of them is recognized hierarchically using several features. In summary an efficient recognition algorithm for mixed documents is proposed and its performance is demonstrated via computer simulations.

• Journal of Multimedia Information System
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• 제2권1호
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• pp.171-178
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• 2015

This article describes 3 dimensional (3D) face recognition system using histogram of oriented gradients (HOG) based on face curvature. The surface curvatures in the face contain the most important personal feature information. In this paper, 3D face images are recognized by the face components: cheek, eyes, mouth, and nose. For the proposed approach, the first step uses the face curvatures which present the facial features for 3D face images, after normalization using the singular value decomposition (SVD). Fisherface method is then applied to each component curvature face. The reason for adapting the Fisherface method maintains the surface attribute for the face curvature, even though it can generate reduced image dimension. And histogram of oriented gradients (HOG) descriptor is one of the state-of-art methods which have been shown to significantly outperform the existing feature set for several objects detection and recognition. In the last step, the linear discriminant analysis is explained for each component. The experimental results showed that the proposed approach leads to higher detection accuracy rate than other methods.

• 대한전기학회논문지:시스템및제어부문D
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• 제49권6호
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• pp.307-315
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• 2000

For the autonomy of a mobile robot it is first needed to know its position and orientation. Various methods of estimating the position of a robot have been developed. However, it is still difficult to localize the robot without any initial position or orientation. In this paper we present the method how to make the colored map and how to calculate the position and direction of a robot using the angle data of an omnidirectional image. The wall of the map is rendered with the corresponding color images and the color histograms of images and the coordinates of feature points are stored in the map. Then a mobile robot gets the color omnidirectional image at arbitrary position and orientation, segments it and recognizes objects by multiple color indexing. Using the information of recognized objects robot can have enough feature points and localize itself.

• 한국CDE학회논문집
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• 제16권5호
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• pp.331-343
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• 2011

High tibial osteotomy (HTO) is a widely accepted treatment for unicompartmental osteoarthritis of the knee and other lower extremity deformities, particularly for young and active patients. However, it is generally recognized as a technically demanding procedure. Thus the limitations of conventional surgical methods have been reported. Currently, the use of computer-aided surgery (CAS) system for successful surgery was increased. However it has been reported many problems such as expensive equipment, infection or fracture caused by inserting half-pin and delaying surgery. Therefore we propose a novel method which can be tracked by using tracking-pin inserted in arbitrary locations of the femur and tibia, and fluoroscopic images obtained from G-arm of antero-posterior and lateral-medial.

• 천문학회보
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• 제41권2호
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• pp.67.2-67.2
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• 2016

The Sun has diverse variations in solar atmosphere's layers due to solar activity. This solar variations can be recognized easily by sunspots which appear on the solar photosphere. Thus the sunspot on the photosphere is utilized by direct index of the solar activity. The other variation of the photosphere is center-to-limb variation (CLV). In this study, we analyze the relative intensity observed by SOHO, SDO. The data of photospheric intensity are from full disk images of SOHO/MDI intensity ($6768{\AA}$, from May 1994 to March 2011) and of SDO/HMI intensity ($6173-6174{\AA}$, from May 2010 to June 2016). As the result, we found the latitudinal variation of the intensity. The daily photospheric intensity showed the solar cyclic variation with sunspot number. It has a little difference of phase with sunspot number.

• Journal of the Korean Data and Information Science Society
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• 제18권4호
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• pp.1033-1043
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• 2007

The multi layer perceptron for segmenting objects in images only uses the input windows that are made from a image in a fixed size. These windows are recognized so each independent learning data that they make the performance of the multi layer perceptron poor. The poor performance is caused by not considering the position information and effect of input windows in input images. So we propose a new approach to add the position information and effect of input windows to the multi layer perceptron#s input layer. Our new approach improves the performance as well as the learning time in the multi layer perceptron. In our experiment, we can find our new algorithm good.

• 한국산업정보학회논문지
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• 제5권1호
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• pp.53-60
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• 2000

본 논문에서는 상용 CDC 카메라를 동하여 각종 산업용 부품들의 영상 정보를 입력한 후 이를 이용하여 부품에 기록된 각종 문자들을 자동 인식하고 인식된 문자 정보를 활용하여 부품의 제조, 조립 및 검사 공정 등을 자동화시킬 수 있는 산업용 부품 문자 인식 시스템을 구축하였다. 이러한 영상 정보 기반 산업용 부품 문자 인식 시스템을 작업 현장에 적용할 경우 생산성 향상, 경비 절감, 고품질 제품의 생산 및 공정의 자동화 등 다양한 요구를 충족시킬 수 있을 것이다.